Mayo Clinic, Rochester, MN
Hao Xie , Douglas W. Mahoney , Patrick H. Foote , Kelli Burger , Karen A Doering , William R. Taylor , Xiaoming Cao , Maria McGlinch , Calise K. Berger , Joleen Marie Hubbard , Hatim T. Allawi , Graham P. Lidgard , David A. Ahlquist , John B. Kisiel
Background: Methylated DNA markers (MDMs) are broadly informative for early detection of colorectal cancer (CRC) but have not been extensively studied for post-treatment surveillance and disease monitoring. We aimed to assess the feasibility of novel CRC-associated MDMs for detection of distant recurrent CRC (rCRC) in plasma. Methods: A panel of 13 MDMs previously identified to be discriminant for primary CRC was selected. In a cross-sectional analysis of plasma samples, MDMs were assayed blindly (by target enrichment long-probe quantitative amplified signal assay) from 160 age/sex-balanced patients (60 healthy controls, 60 with resected CRC and no evidence of disease (NED), and 40 rCRC after primary tumor resection). Plasma-derived carcinoembryonic antigen (CEA) was measured on all patients. Random forest modeling was used to derive a prediction algorithm of MDMs (with and without CEA) for the endpoint of rCRC relative to healthy controls. The accuracy of the algorithm was summarized as sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) with 95% confidence intervals (CI) in the test set. Results: Median patient age was 55 (interquartile range: 49-64) years. As shown in the Table below, a single MDM with the highest AUC was significantly better than CEA (p= 0.02). On cross validation, CEA provided no additional improvement to the performance of the panel of 13 MDMs (p= 0.2). The cross-validated panel of MDMs detected rCRC liver metastases with 96% (79-100%) sensitivity, lung metastases with 78% (40-97%) sensitivity, and peritoneal/nodal metastases with 57% (18-90%) sensitivity. Lesions with Response Evaluation Criteria in Solid Tumors sum > 4 cm were detected with 94% (73-100%) sensitivity and ≤4 cm with 78% (52-94%) sensitivity. Conclusions: Novel MDMs in plasma detect rCRC with promising accuracy. The clinical utility of MDMs for non-invasive post-treatment surveillance and treatment monitoring in CRC warrants further evaluation in longitudinal studies with sufficient follow-up to exclude sub-clinical recurrence in those with NED.
Modeling | Marker | AUC (95% CI) | rCRC Sensitivity (95% CI) | NED Sensitivity (95% CI) | Healthy controls Specificity (95% CI) | P |
---|---|---|---|---|---|---|
No cross-validation | A single MDM | 0.93 (0.87-1) | 88% (73-96%) | 13% (6-25%) | 95% (86-99%) | 0.02 |
CEA (cutoff: 3 ng/ml) | 0.79 (0.69-0.9) | 65% (48-79%) | 12% (5-23%) | 87% (75-94%) | ||
2:1 cross-validation | 13 MDM algorithm | 0.96 (0.91-1) | 85% (70-94%) | 22% (12-34%) | 95% (86-99%) | 0.20 |
13 MDM+CEA algorithm | 0.96 (0.91-1) | 85% (70-94%) | 22% (12-34%) | 95% (86-99%) |
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Abstract Disclosures
Funded by Conquer Cancer
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